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The active suspension sliding mode control system is affected by the driving road, and the vehicle body vibration acceleration power spectrum density is inconsistent with the actual density, resulting in poor system control effect. A two-degree-of-freedom active suspension sliding mode control system design based on fuzzy neural network is proposed. Based on the two-degree-of-freedom hardware structure, an accumulator is installed in the hydraulic servo system of the active suspension to reduce the space memory. The magnetorheological damper is used to adjust the current to control the damping. Design an adaptive damping seat suspension and calculate the damping value to realize the control of the active suspension. Considering the irregularity of the road surface, a two-degree-of-freedom active suspension sliding mode control model is constructed, and the force of the suspension elastic elements is calculated according to Newton's law. The fuzzy control rules are used to correct the control error, and the fuzzy neural network is used to design the active suspension sliding film control scheme. After iterative processing, the solution that meets the optimization requirements is obtained, and the sliding film control is realized. It can be seen from the test results that the power spectral density of the vehicle body vibration acceleration is consistent with the actual density. From the initial 0ms-2 to the final 1.5ms-2, it has a good control effect and ensures the comfort of the car.